Geochemical characteristics and exploration potential of Jurassic coal-formed gas in northwest China

Li, Jian; Hao, Aisheng; Qi, Xiaoguang; Chen, Xuan; Guo, Jianying; Ran, Qigui; Li, Zhisheng; Xie, Zengye; Zeng, Xu; Jin, Li; Yu, Wei; Liu, Ruhong

doi:10.1016/j.jnggs.2019.11.003

Cited by 9 publications

(7 citation statements)

References 4 publications

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“…Finally, the demand for high quality products will be greatly improved due to the increasing income level of the urban residents. [10] When the traditional aquatic products could not meet people's demand, the aquatic price will decline.…”

Section: 3analysis Of Model Resultsmentioning

confidence: 99%

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Hong¹,

Wang²

2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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Based on the panel data of 29 provinces in China from 2017 to 2019, a multiple linear regression model is established. It uses the stepwise regression method to analyze the factors that affect aquatic product price. The result shows that the refrigeration capacity of aquatic cold storage, the number of cold chain logistics enterprises and vehicles, the number of aquatic seedlings, the output of aquatic products, the processing capacity of aquatic products, the price of substitutes and coastal factors have a positive correlation with aquatic price. The negative correlation variables include cold storage capacity, icemaking capacity, freezing capacity, urbanization level and residents' income level. The study is meaningful to balance between the supply and demand of aquatic products and promote the construction of cold chain infrastructure.

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Section: 3analysis Of Model Resultsmentioning

confidence: 99%

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Hong¹,

Wang²

2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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“…Total organic carbon in sedimentary rocks has always been an important index for evaluating the abundance of organic matter in source rocks and is an important input parameter for evaluating natural gas resources. Some scholars believe that the formation of biogenic gas is not directly related to the sedimentation of total organic carbon Guo et al, 2006), while others believe that high organic matter abundance is conducive to microbial abundance and gas generation (Zhang et al, 1992;Lin, 2006). Nonetheless, it is generally believed that to ensure the formation of methane, the organic carbon lower limit should be 0.5% (Claypool et al, 1980;Rice and Claypool, 1981;Rangel et al, 2003;Norville and Dawe, 2007;Kundu et al, 2008;Pande et al, 2011;Racey and Ridd, 2015;Wang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of organic matter abundance of source rocks of biogenic gas: a case from the Quaternary Qigequan Formation Shale, Sanhu Depression, Qaidam Basin

Liu,

Jiang,

Tang

et al. 2024

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A correct understanding of organic matter abundance is key to understanding the conditions necessary for generating biogenic gas, seeking favorable exploration intervals and fields and evaluating resources correctly. The Qigequan Formation shale of the Quaternary in the Sanhu Depression of the Qaidam Basin is taken as the research object. The abundance of dissolved organic matter was determined through total carbon, pyrolysis and other experiments. The evaluation criteria were established and applied. The resource quality is calculated. The results are as follows. (1) Dissolved organic matter is the basis for biogenic gas generation and should be emphasized in the evaluation. (2) The shale has a relatively high dissolved organic carbon (DOC) content, with an average of 2.48 times that of insoluble organic carbon. (3) The DOC of the good source rock is more than 0.60%, that of the medium is 0.25~0.60%, and that of the poor is less than 0.25%. (4) The distribution of good source rocks is influenced by the position and depth of the water column and the paleoclimate. Favorable intervals are mainly in the upper sections of K10, K9 and K8 and the middle section of K7. The favorable areas are mainly the Tainan, Sebei and Sedong areas.

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“…Shale gas, which is an alternative to petroleum and coal as a hydrocarbon resource, has been intensively studied in recent years. Much work has emphasized the geochemical characteristics of shale − and has evaluated the resource potential of shale gas, ,, and some researchers have attempted to analyze the gas potential by quantifying hydrocarbon generation and expulsion. , Others have investigated the microscopic characteristics of shale reservoirs. − Furthermore, some researchers have analyzed the controlling factors for shale gas enrichment, favorable areas for shale gas, and shale gas exploration and development. ,− These previous studies have strongly focused on marine shale gas, while only a few works have addressed marine-continent transitional shale gas ,− and continental shale gas . In China, nonmarine organic shale contains two-thirds of all recoverable shale resources; organic shales deposited in nonmarine environments are usually interlayered with coalbeds, especially in marine-continental transitional environments, and the coal-bearing strata contain large quantities of shale gas resources in China and are very important for achieving success and breakthroughs in coal-bearing shale gas production .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Preliminary Assessment of the Resource and Exploitation Potential of Lower Permian Marine-Continent Transitional Facies Shale Gas in the Huainan Basin, Eastern China, Based on a Comprehensive Understanding of Geological Conditions

et al. 2021

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The Huainan Basin in eastern China contains abundant shale gas resources; the Lower Permian is an exploration horizon with a high potential for shale gas in marine-continent transitional facies. However, few detailed analyses have investigated shale gas in this area. In this paper, a comprehensive investigation of the geochemical characteristics, physical properties, and gas-bearing capacities of shale reservoirs was conducted, and the resource and exploitation potential were evaluated. The results show that the cumulative thicknesses of the Shanxi Formation (P1s) and lower Shihezi Formation (P2xs) are mostly greater than 35 and 65 m, respectively. The TOC contents of the P1s and P2xs shale vary from 0.11 to 8.87% and from 0.22 to 14.63%, respectively; the kerogens predominantly belong to type II with minor amounts of type I or type III kerogens; average R o values range between 0.83 and 0.94% and between 0.82 and 1.02% in P1s and P2xs, respectively; the shale samples are primarily at a low maturity, while some shale samples have entered the high-maturity stage. The shale reservoirs have low permeability and porosity in P1s and P2xs, respectively. The pores of the P1s shale reservoir are characterized by well-developed micropores and transition pores and poorly developed mesopores, while the pores in the P2xs shale reservoir are all characterized by well-developed micropores and transition pores and some well-developed macropores; the different pore types in the shale reservoirs developed in the organic matter, clay minerals, and pyrite, while a few endogenous fractures developed in the organic matter and structural fractures developed in the minerals. The total shale gas contents in P1s and P2xs are 2.85 and 2.96 m3 t–1, respectively. The P2xs shale reservoir has a higher hydrocarbon generation potential than P1s and has a lower gas generation potential. The total shale gas amounts in P1s and P2xs are 3602.29–4083.04 × 108 and 2811.04–3450.77 × 108 m3, respectively. Further research on shale gas exploration and exploitation for these formations needs to be performed.

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Geochemical characteristics and exploration potential of Jurassic coal-formed gas in northwest China

Cited by 9 publications

References 4 publications

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Analysis on Factors Affecting the Aquatic Product Price based on Stepwise Multiple Linear Regression Model

Evaluation of organic matter abundance of source rocks of biogenic gas: a case from the Quaternary Qigequan Formation Shale, Sanhu Depression, Qaidam Basin

Preliminary Assessment of the Resource and Exploitation Potential of Lower Permian Marine-Continent Transitional Facies Shale Gas in the Huainan Basin, Eastern China, Based on a Comprehensive Understanding of Geological Conditions

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